{"id":"https://openalex.org/W2085956571","doi":"https://doi.org/10.1109/fskd.2012.6234235","title":"A novel method for detecting occluded object by multiple camera arrays","display_name":"A novel method for detecting occluded object by multiple camera arrays","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2085956571","doi":"https://doi.org/10.1109/fskd.2012.6234235","mag":"2085956571"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2012.6234235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234235","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/fskd.2012.6234235","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016597133","display_name":"Zhao Pei","orcid":"https://orcid.org/0000-0003-4482-571X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Pei","raw_affiliation_strings":["School of computer science, Northwestern Polytechnical University, Xi'an, Shaanxi, China","School of Computer Science , Northwestern Polytechnical University , Xi'an , Shaanxi , China"],"affiliations":[{"raw_affiliation_string":"School of computer science, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science , Northwestern Polytechnical University , Xi'an , Shaanxi , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["School of computer science, Northwestern Polytechnical University, Xi'an, Shaanxi, China","School of Computer Science , Northwestern Polytechnical University , Xi'an , Shaanxi , China"],"affiliations":[{"raw_affiliation_string":"School of computer science, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science , Northwestern Polytechnical University , Xi'an , Shaanxi , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062706107","display_name":"Tao Yang","orcid":"https://orcid.org/0000-0002-5180-2316"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yang","raw_affiliation_strings":["School of computer science, Northwestern Polytechnical University, Xi'an, Shaanxi, China","School of Computer Science , Northwestern Polytechnical University , Xi'an , Shaanxi , China"],"affiliations":[{"raw_affiliation_string":"School of computer science, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science , Northwestern Polytechnical University , Xi'an , Shaanxi , China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103184634","display_name":"Xida Chen","orcid":"https://orcid.org/0000-0003-2657-6967"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xida Chen","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada","[Dept. of Computing Science, University of Alberta, Edmonton, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"[Dept. of Computing Science, University of Alberta, Edmonton, Canada]","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016597133"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.5101,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71311571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1673","last_page":"1677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7970913648605347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7814712524414062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6995739936828613},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6103933453559875},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5988905429840088},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5784705281257629},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5321492552757263},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.495456337928772},{"id":"https://openalex.org/keywords/single-camera","display_name":"Single camera","score":0.4770219326019287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1739233434200287},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16176331043243408},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0832468569278717},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0677919089794159}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7970913648605347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7814712524414062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995739936828613},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6103933453559875},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5988905429840088},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5784705281257629},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5321492552757263},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.495456337928772},{"id":"https://openalex.org/C3018868555","wikidata":"https://www.wikidata.org/wiki/Q2918907","display_name":"Single camera","level":2,"score":0.4770219326019287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1739233434200287},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16176331043243408},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0832468569278717},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0677919089794159},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2012.6234235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234235","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/fskd.2012.6234235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234235","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2035866593","https://openalex.org/W2063366997","https://openalex.org/W2072420336","https://openalex.org/W2102625004","https://openalex.org/W2108687567","https://openalex.org/W2113642013","https://openalex.org/W2116361875","https://openalex.org/W2131925136","https://openalex.org/W2548381730","https://openalex.org/W6729491382"],"related_works":["https://openalex.org/W2353644209","https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2593663830","https://openalex.org/W2348743188","https://openalex.org/W2902317490","https://openalex.org/W2898210368","https://openalex.org/W4387423451","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"For":[0],"many":[1],"object":[2,80],"detection":[3,58,65],"methods,":[4],"occlusion":[5],"is":[6,47,115],"a":[7,15,29,55,73,139,149],"challenge":[8],"problem":[9],"and":[10,142],"researchers":[11],"have":[12],"been":[13],"spending":[14],"lot":[16],"of":[17,88,118],"time":[18],"on":[19,72,120,127],"solving":[20],"it.":[21],"Recently,":[22],"by":[23],"using":[24,60],"synthetic":[25,100],"aperture":[26,101],"imaging":[27],"with":[28,96],"camera":[30,62,69,93,98],"array":[31,99],"the":[32,43,79,89,107,112,135,146],"occluded":[33],"objects":[34,46,147],"can":[35,81,105,125,143],"be":[36,82],"successfully":[37,144],"detected,":[38],"but":[39],"may":[40],"fail":[41],"when":[42],"depth":[44,109,151],"between":[45,111],"too":[48],"small.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"proposes":[54],"novel":[56],"multi-object":[57],"method":[59,104,124,137],"multiple":[61],"arrays.":[63],"Our":[64],"algorithm":[66],"calibrates":[67],"two":[68,85],"arrays":[70],"based":[71],"simple":[74],"shift":[75],"transformation.":[76],"And":[77],"also,":[78],"shown":[83],"in":[84],"different":[86],"sides":[87],"view":[90],"from":[91],"each":[92],"array.":[94],"Compare":[95],"one":[97],"detection,":[102],"our":[103,123],"handle":[106],"small":[108,150],"difference":[110],"objects.":[113],"What":[114],"more,":[116],"instead":[117],"focusing":[119],"parallel":[121],"plane,":[122],"focus":[126],"tilted":[128],"plane.":[129],"The":[130],"experimental":[131],"results":[132],"show":[133],"that":[134],"proposed":[136],"has":[138],"good":[140],"performance":[141],"detect":[145],"within":[148],"range.":[152]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}